Abstract: Embodiments of the present disclosure present devices, methods, and computer readable medium for techniques for measuring operational performance metrics, and presenting these metrics through an application programming interface (API) for developers to access for optimizing their applications. Exemplary metrics can include central processing unit or graphics processing unit time, foreground/background time, networking bytes (per application), location activity, display average picture luminance, cellular networking condition, peak memory, number of logical writes, launch and resume time, frame rates, and hang time. Regional markers can also be used to measure specific metrics for in application tasks. The techniques provide multiple user interfaces to help developers recognize the important metrics to optimize the performance of their applications. The data can be normalized over various different devices having different battery size, screen size, and processing requirements.

Abstract: Embodiments of the present disclosure present devices, methods, and computer readable medium for techniques for measuring operational performance metrics, and presenting these metrics through an application programming interface (API) for developers to access for optimizing their applications. Exemplary metrics can include central processing unit or graphics processing unit time, foreground/background time, networking bytes (per application), location activity, display average picture luminance, cellular networking condition, peak memory, number of logical writes, launch and resume time, frame rates, and hang time. Regional markers can also be used to measure specific metrics for in application tasks. The techniques provide multiple user interfaces to help developers recognize the important metrics to optimize the performance of their applications. The data can be normalized over various different devices having different battery size, screen size, and processing requirements.

Abstract: There is provided a technique that includes (1) receiving a data element, (2) comparing the data element to a corresponding data element in a pend update history repository that contains changes that have occurred to the data element over time, thus yielding a comparison, (3) determining, based on the comparison, that the data element has changed, (4) checking that there is no update process running that might contain more up-to-date data for the data element, (5) relating the data element to a cutoff number that is associated with a particular range of time, and (6) updating corresponding data elements in (a) a full universe data repository that stores a current value for the data element and a previous value for the data element, and (b) a delta data repository that stores a record that indicates (i) that the data element is being updated, and (ii) the cutoff number.

Abstract: A system and method that preserves consistency of corporate data including interdependent corporate data in a globally distributed environment.

Abstract: Embodiments of the present disclosure present devices, methods, and computer readable medium for techniques for measuring operational performance metrics, and presenting these metrics through an application programming interface (API) for developers to access for optimizing their applications. Exemplary metrics can include central processing unit or graphics processing unit time, foreground/background time, networking bytes (per application), location activity, display average picture luminance, cellular networking condition, peak memory, number of logical writes, launch and resume time, frame rates, and hang time. Regional markers can also be used to measure specific metrics for in application tasks. The techniques provide multiple user interfaces to help developers recognize the important metrics to optimize the performance of their applications. The data can be normalized over various different devices having different battery size, screen size, and processing requirements.

Abstract: A method and system provides a predictive monitoring platform that identifies related but previously unspecified corporate entities that are in fact actually of interest to a customer. The method and system use a computer with a program module for a series of steps that search for and provide a list of previously unlinked corporate entities that are of potential interest to the customer for monitoring.

Abstract: A system and method that preserves consistency of corporate data including interdependent corporate data in a globally distributed environment.

Abstract: There is provided a technique that includes (1) receiving a data element, (2) comparing the data element to a corresponding data element in a pend update history repository that contains changes that have occurred to the data element over time, thus yielding a comparison, (3) determining, based on the comparison, that the data element has changed, (4) checking that there is no update process running that might contain more up-to-date data for the data element, (5) relating the data element to a cutoff number that is associated with a particular range of time, and (6) updating corresponding data elements in (a) a full universe data repository that stores a current value for the data element and a previous value for the data element, and (b) a delta data repository that stores a record that indicates (i) that the data element is being updated, and (ii) the cutoff number.